Powerful 'SAS' Inspired Concepts for more Efficient Bigger Outputs
Add Extensions to Variable Names
Add Empty Variables In A Given Range
Compute Any Possible Table
Build a Master Script From Folder
Build a Theme From Scratch
Combine Multiple Tables Into One Workbook
Get Detailed Summary About A Data Frame
Convert Function Arguments to Character Vector
Convert Variables
Display Cross Table of Two Variables
Drop automatically generated Variables
Dummy Data
Error Handling
Style for 'Excel' Table Outputs
Export Data Frame With Style
Set First Data Frame Row As Variable Names
Create Format Container
Display Frequency Tables of Single Variables
Fuse Multiple Variables
Converts Numbers into 'Excel' Ranges
Get Integer Length
If - Else if - Else Statements
High Level Import From And Export To CSV And XLSX
Get Variable Names Which Are Not Part Of The Given Vector
Keep and Drop Variables Inside a Data Frame
Check If Path Exists And Retrieve Files
Modify Number Formats Used by any_table()
Modify Style for 'Excel' Table Outputs
Monitor Time Consumption
Join Multiple Data Frames In One Go
Number Formats Used by any_table()
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Set Global Print Option
qol - Quality of Life
Recode New Variables With Formats
Replace Statistic From Variable Names
Rename One Or More Variables
Replace Patterns Inside Variable Names
Replace Patterns While Protecting Exceptions
Different Facets of Retain
Stack Multiple Data Frames
Order Columns by Variable Name Patterns
Sort Data Frame Rows With Some Additions
Split Data Frame By Variable Expressions Or Condition
Set Global Styling Options For Excel Workbooks
Fast And Powerful Yet Simple To Use Summarise
Fast And Powerful Yet Simple To Use Transpose
Get All Variable Names Between Two Variables
The main goal is to make descriptive evaluations easier to create bigger and more complex outputs in less time with less code. Introducing format containers with multilabels <https://documentation.sas.com/doc/en/pgmsascdc/v_067/proc/p06ciqes4eaqo6n0zyqtz9p21nfb.htm>, a more powerful summarise which is capable to output every possible combination of the provided grouping variables in one go <https://documentation.sas.com/doc/en/pgmsascdc/v_067/proc/p0jvbbqkt0gs2cn1lo4zndbqs1pe.htm>, tabulation functions which can create any table in different styles <https://documentation.sas.com/doc/en/pgmsascdc/v_067/proc/n1ql5xnu0k3kdtn11gwa5hc7u435.htm> and other more readable functions. The code is optimized to work fast even with datasets of over a million observations.